A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...
Coal mine roadheaders operate under complex conditions characterized by prolonged exposure to high vibration and dust levels, resulting in a high failure rate. Traditional fault diagnosis methods ...
Combinatorial optimization underpins applications in artificial intelligence, logistics, and network design, yet classical techniques such as greedy search and dynamic programming struggle to balance ...
Abstract: In recent years, the proposal and development of algorithms have been accelerating, and algorithms with various purposes, principles, simplicity, complexity, and sources have been applied to ...
In this project, I implemented with Python the solutions of the scheduling problem using different methods, the metaheuristic : genetic algorithm and secondly the dynamic programming.
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...
Abstract: Traveling salesman problem (TSP) is a problem of determining the shortest path for a salesman to take to visit all cities. Although a small number of cities is easy to solve, as the number ...
Picture this: A weary salesperson juggling a multitude of client meetings, crisscrossing cities, and spending countless hours on the road. The life of a traveling salesperson is challenging, with time ...